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Grady Hobbs Elite Prospects ↗

Position: Forward DOB: 2000-03-18 Country: Canada
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2016-17 Dauphin Kings MJHL 60 7 12 19 0.317 0.0610 0.0685 0.1997 0.2241
2017-18 Dauphin Kings MJHL 53 7 9 16 0.302 0.0581 0.0624 0.1904 0.2045
2018-19 Dauphin Kings MJHL 51 14 18 32 0.627 0.1208 0.1231 0.3957 0.4032
2019-20 Dauphin Kings MJHL 60 43 38 81 1.350 0.2599 0.2599 0.8513 0.8513
2020-21 Dauphin Kings MJHL 6 7 4 11 1.833 0.3529 0.3529 1.1561 1.1561
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2024-25 RIT D1 AHA SR 31 4 5 9 0.290
2023-24 RIT D1 AHA JR 39 10 8 18 0.462
2022-23 RIT D1 AHA SO 34 9 6 15 0.441
2021-22 RIT D1 AHA FR 38 7 7 14 0.368
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.37
2021-22 · RIT
+335.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
5%
NCAA D2/D3
80%
Pro / Other

NCAAe Rankings

#22722
Forward overall
#1060
Forward born in 2000
#231
in MJHL

D1 Comparables

Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Carson Strapon
Wisconsin-Eau Claire · 2023-24
0.444 Average
actual D2/3 PPG
Tyler Rudek
Franklin Pierce · 2016-17
0.833 Strong
actual D2/3 PPG
Colin Tushie
Saint Mary's (MN) · 2019-20
0.520 Average
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.